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Researcher
- Ilias Belharouak
- Rama K Vasudevan
- Sergei V Kalinin
- Ying Yang
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Alexey Serov
- Ali Abouimrane
- Alice Perrin
- Jaswinder Sharma
- Kyle Kelley
- Marm Dixit
- Ruhul Amin
- Steven J Zinkle
- Xiang Lyu
- Yanli Wang
- Yutai Kato
- Alex Plotkowski
- Amit K Naskar
- Amit Shyam
- Anton Ievlev
- Arpan Biswas
- Ben LaRiviere
- Beth L Armstrong
- Bruce A Pint
- Christopher Ledford
- Costas Tsouris
- David L Wood III
- David S Parker
- Gabriel Veith
- Georgios Polyzos
- Gerd Duscher
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- Holly Humphrey
- Hongbin Sun
- James A Haynes
- James Szybist
- Jonathan Willocks
- Jong K Keum
- Junbin Choi
- Khryslyn G Araño
- Liam Collins
- Logan Kearney
- Lu Yu
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Meghan Lamm
- Michael Kirka
- Michael Toomey
- Michelle Lehmann
- Mina Yoon
- Nance Ericson
- Neus Domingo Marimon
- Nicholas Richter
- Nihal Kanbargi
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Paul Groth
- Pradeep Ramuhalli
- Radu Custelcean
- Ritu Sahore
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumit Bahl
- Sumner Harris
- Sunyong Kwon
- Tim Graening Seibert
- Todd Toops
- Utkarsh Pratiush
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin
- Yaocai Bai
- Zhijia Du

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.